Adobe Media and Data Science Research (MDSR) Laboratory
Base: $190,200 - $345,650 annually; california bas...
Hybrid
5-8 years production ml experience
Python programming proficiency
Pytorch or tensorflow framework expertise
This role focuses on applying advanced modeling to design, train, and operationalize ML systems for typographic layout and generative styling across Adobe's creative products
Job Summary
This role focuses on applying advanced modeling to design, train, and operationalize ML systems for typographic layout and generative styling across Adobe's creative products.
Candidates will own the entire modeling lifecycle from data preparation and training pipelines to production deployment, monitoring, and integration into hybrid product architectures.
The position requires strong software engineering fundamentals including writing production-quality code, tests, and automation while following CI/CD best practices.
Matching Summary
This role focuses on applying advanced modeling to design, train, and operationalize ML systems for typographic layout and generative styling across Adobe's creative products.
Salary
Base: $190,200 - $345,650 annually; California Base: $238,700 - $345,650; Short-term incentives in form of Annual Incentive Plan (AIP) and potential equity awards
Skills & Requirements
Must-have
5-8 years production ML experience
Python programming proficiency
PyTorch or TensorFlow framework expertise
End-to-end model lifecycle ownership
Data pipeline and model serving infrastructure
CI/CD and software engineering best practices
Nice-to-have
Experience with diffusion models and GANs
Computer vision segmentation skills
Model optimization via quantization and distillation
Reinforcement learning or bandit methods
Background in recommendation systems or NLP
MS or PhD in Computer Science or ML
Key Requirements
5-8 years building and operating production ML systems
Strong Python skills with PyTorch or TensorFlow
Demonstrated ownership of data to monitoring lifecycle
Experience debugging models and tuning hyperparameters
MS or PhD in Computer Science, ML, or related field (Nice to Have)